Call for applications 2020 - detailed information
In March 2015, the Senate of the Deutsche Forschungsgemeinschaft (DFG) decided to set up the priority program 1886 “ Polymorphic uncertainty modelling for the numerical design of structures ”. The planned running time is six years. The call for applications invites you to submit an application for the second three-year funding period.
The aim of the priority program is the development of numerical methods for the improved design of structures with fuzzy data and information. In addition to the applications in the engineering disciplines involved in civil engineering as well as mechanical and plant engineering and the distinction between different phases (early and final design phase), the focus is particularly on "real world" scenarios that can be mapped using adequate modeling. Numerical structural analyzes based on the current state of research form the basis of the design concepts.
In the first funding period, the 23 sub-projects were used to broadly develop the scientific foundations in cooperation between engineering disciplines and mathematics, and to obtain fundamental knowledge for the various realistic tasks. The new generalized uncertainty modeling for data and information was established across projects. The unifying element of the work is the polymorphic uncertainty modelling, uncertainty, incompleteness and inaccuracy with which real scenarios can be mapped. At the moment, new numerical design methods for structures and later also processes are emerging, if the time dependency of the parameters is given greater attention in the designs. Intermediate results of the research work were presented in mini-symposia organized by the priority program at international conferences and are documented in a special volume of a relevant specialist journal.
In the second funding period, the focus should be on design tasks in the life cycle of structures (manufacture, use, disposal) and structural changes (e.g. renovation, change of use, reinforcement, "additive manufacturing").
With the networking of the specialist disciplines involved, far-reaching scientific sub-goals are formulated for the priority program. These are the development and application of innovative numerical design concepts, novel algorithms, highly efficient procedures and improved methods for complex engineering structural designs based on fuzzy data and information. The work programs of the sub-projects for the priority program should include different aspects of taking into account significant uncertainty in the numerical design of structures, new ("intelligent") methodological approaches for the design of structures and processes, more efficient numerical procedures and practical evaluation strategies.
The priority program aims at an integral consideration of the methodological approaches and aims at the synthesis of different approaches in the conviction that barriers between the representatives of the different schools can be overcome through scientific exchange and that a generalized scientific assessment of the fuzziness of data and information will succeed in the numerical design of structures.
The applications of the individual sub-projects are expected to address several of the complexes, have an interdisciplinary / transdisciplinary approach and contain original, specific solutions. A strong networking of the working groups and research disciplines to expand a cross-disciplinary and cross-location cooperation structure is expressly sought. Therefore, each sub-project application should be placed in the overall context of the priority program. In addition, it must be pointed out which findings and what benefits the other scientists can draw from the expected results of the respective sub-project.
Elaborate experiments are not addressed within the priority program (but use of existing, possibly very heterogeneous data, which can also include “data-driven” simulations with fuzzy data). The exclusive use of stochastic concepts and models is not considered to be expedient in the context of the priority program, since specific prerequisites can usually not or only with difficulty be met in practice and are then often ignored.